A
licenseNot graded
qualityC
maintenanceProvides a specification-driven workflow layer for AI-assisted coding, enabling agents to follow an explicit 11-phase feature workflow with checkpoints, artifacts, and quality gates.
MIT
spec-to-linear
Related Servers
Alternatives to spec-to-linear
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceConnects Claude Code, Codex, Cursor, and other coding agents to a project's idea, feature topology, and ordered task queue over MCP, so they can answer planning jobs, claim, build, and tick off implementation tasks live in your repository, or assemble a shareable PRD.5 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to run a specification-first workflow with Socratic interviews, immutable seed specs, staged evaluation gates, and persistent evolutionary loops across multiple runtimes.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to register, self-assign and coordinate tasks, track progress, review work, and manage GitHub Projects v2 with AI-powered PRD generation, sprint planning, issue triage, and PRD-to-issues pipelines backed entirely by GitHub-native storage.301 npmMIT
- AlicenseBqualityCmaintenanceEnables AI agents to generate structured PRDs, decompose epics into testable user stories, validate Given/When/Then acceptance criteria, and export markdown backlogs.4MIT
- AlicenseNot gradedqualityAmaintenanceTurns GitHub Projects v2 into an agentic task substrate where AI coding agents register, atomically claim and complete tasks, exchange heartbeats, review one another's work products, and operate within token budgets. Humans get AI-powered PRD generation, task breakdown, sprint planning, roadmap creation, and issue triage, with all state stored natively in GitHub issues, projects, and comments so no external infrastructure is needed.301 npmMIT
This server cannot be deployed
Maintenance
ActivitySlowing
ResponsivenessNo recent community issues